Innodata Inc vs Vanguard Real Estate Index Fund ETF — how do they compare? Innodata Inc trades at $63.16 (market cap $2.03B), while Vanguard Real Estate Index Fund ETF trades at $99.43. The key difference: Vanguard Real Estate Index Fund ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| INOD | VNQ | |
|---|---|---|
Market Cap | $2.03B | — |
Sector | Technology | — |
52-Week High | $121.50 | $100.07 |
52-Week Low | $34.45 | $87.00 |
Enterprise Value | $1.91B | — |
Signals from Pluang's Aura AI — not financial advice
INOD trades at $62.08, up 2.09% today, showing strong momentum despite a bearish technical signal. The company demonstrates robust fundamentals with revenue growth from $252M in 2025 to $283M projected for 2026, and net income margins improving to 13.86%. Recent earnings beats and positive AI-driven news highlight growing demand for its engineering R&D services. Technical indicators show mixed signals with RSI suggesting oversold conditions but moving averages indicating bearish pressure.
Outlook remains positive with 60% analyst buy ratings and a $130 consensus price target representing 109% upside. Key opportunities include AI market expansion and customer diversification, while risks center on high valuation multiples (P/E 54.29) and customer concentration. The stock's recent 33% pullback may present a buying opportunity for growth-oriented investors.
VNQ trades at $99.5, down 0.52% on the day, with a bullish technical signal driven by strong moving average alignment. The ETF's expense ratio of 0.13% remains a competitive advantage, and recent news highlights its 12% year-to-date total return through mid-July 2026. Dividend payments are scheduled, with the next payout of $0.86 set for June 26, 2026.
Outlook is cautiously optimistic, supported by technical strength and cost efficiency, but risks include sensitivity to interest rates and potential overbought conditions. The ETF's domestic focus offers stability, yet investors should weigh the impact of Treasury yield fluctuations on real estate valuations.
Trailing returns across standard periods
Innodata is a global data engineering company that provides solutions for training AI models. It helps enterprises solve complex data challenges through high-quality data annotation and digital transformation.
Read more on INOD →The fund employs an indexing investment approach designed to track the performance of the MSCI US Investable Market Real Estate 25/50 Index, an index made up of stocks of large, mid-size, and small US companies within the real estate sector. The Advisor attempts to replicate the target index by seeking to invest all of its assets in the stocks that make up the index, in order to hold each stock in approximately the same proportion as its weighting in the index. It is non-diversified.
Read more on VNQ →